ArcGIS Blueprints : explore the robust features of Python to create real-world ArcGIS applications through exciting, hands-on projects / Eric Pimpler.

Format:

Book

Author/Creator:

Pimpler, Eric, author.

Series:

Community experience distilled.

Community Experience Distilled

Language:

English

Subjects (All):

ArcGIS.

Cartography--Computer programs.

Cartography.

Physical Description:

1 online resource (378 p.)

Place of Publication:

Birmingham, England ; Mumbai, [India] : Packt Publishing, 2015.

Biography/History:

Pimpler Eric: Eric Pimpler is the founder and owner of GeoSpatial Training Services and has over 20 years of experience in implementing and teaching GIS solutions using Esri, Google Earth/Maps, and open source technology. Currently, he focuses on ArcGIS scripting with Python and the development of custom ArcGIS Server web and mobile applications using JavaScript. He is the author of Programming ArcGIS 10. 1 with Python Cookbook. Eric has a bachelor's degree in geography from Texas A&M University and a master's degree in applied geography with a specification in GIS from Texas State University.

Summary:

Explore the robust features of Python to create real-world ArcGIS applications through exciting, hands-on projectsKey Features[*] Get to grips with the big world of Python add-ins and wxPython in GUI development to implement their features in your application[*] Integrate advanced Python libraries, ArcPy mapping, and data access module techniques to develop a mapping application[*] Construct a top-notch intermediate-to-advanced project by accessing ArcGIS Server and ArcGIS Online resources through the ArcGIS REST API using a project-based approachBook DescriptionThis book is an immersive guide to take your ArcGIS Desktop application development skills to the next level It starts off by providing detailed description and examples of how to create ArcGIS Desktop Python toolboxes that will serve as containers for many of the applications that you will build. We provide several practical projects that involve building a local area/community map and extracting wildfire data. You will then learn how to build tools that can access data from ArcGIS Server using the ArcGIS REST API. Furthermore, we deal with the integration of additional open source Python libraries into your applications, which will help you chart and graph advanced GUI development; read and write JSON, CSV, and XML format data sources; write outputs to Google Earth Pro, and more. Along the way, you will be introduced to advanced ArcPy Mapping and ArcPy Data Access module techniques and use data-driven Pages to automate the creation of map books. Finally, you will learn advanced techniques to work with video and social media feeds. By the end of the book, you will have your own desktop application without having spent too much time learning sophisticated theory.What you will learn[*] Automate the creation of creative output data visualizations including maps, charts, and graphs[*] Explore ways to use the ArcPy Mapping module and Data-driven Pages to automate the creation of map books in your own project[*] Develop applications that use the Plotly platform and library to create stunning charts and graphs that can be integrated into ArcGIS Desktop[*] Build tools that access REST services and download data to a local geodatabase [*] Design, build, and integrate advanced GUIs with wxPython and ArcGIS Desktop in ArcGIS[*] Get clued up about constructing applications that export data to Google Earth Pro to automate time-consuming complex processes[*] Maximize the access of ArcGIS Server and ArcGIS Online using the ArcGIS REST API with PythonWho this book is forIf you have prior experience building simple apps with ArcGIS and now have a fancy for developing a more challenging and complex desktop application in ArcGIS, then this book is ideal for you.

Contents:

Cover ; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Extracting Real-Time Wildfire Data from ArcGIS Server with the ArcGIS REST API ; Design; Creating the ArcGIS Desktop Python Toolbox; Working with tool parameters; Tool execution; Populating the feature class; Installing pip and the requests module; Requesting data from ArcGIS Server; Inserting data in a feature class with the ArcPy data access module; Summary; Chapter 2: Tracking Elk Migration Patterns with GPS and ArcPy ; Design

Creating migration patterns for Python toolboxCreating the Import Collar Data tool; Reading data from the CSV file and writing to the feature class; Making the data frame and layer time-enabled; Coding the VisualizeMigration tool; Summary; Chapter 3: Automating the Production of Map Books with Data Driven Pages and ArcPy ; Design; Setting up the Data Frame; Creating the Grid Index Features; Enabling Data Driven Pages; Creating the Locator Map; Adding dynamic text to the layout; Exporting the map series with ArcPy mapping; Summary

Chapter 4 : Analyzing Crime Patterns with ArcGIS Desktop, ArcPy, and PlotlyDesign; Creating the Import Records tool; Creating the Aggregate Crimes tool; Building the Create Map tool; Performing Spatial Statistical Analysis; Summary; Chapter 5: Analyzing Crime Patterns with ArcGIS Desktop, ArcPy, and Plotly ; Design; Getting to know Plotly; Creating the Neighborhood Bar Chart tool; Creating the Create Line Plot tool; Creating the output; Summary; Chapter 6: Viewing and Querying Parcel Data ; Design; Creating a user interface with wxPython; Creating the ArcGIS Python add-in; Summary

Chapter 7: Using Python with the ArcGIS REST API and the GeoEnrichment Service for Retail Site Selection Design; Creating the Census Block Group selection tool; Creating the define potential stores tool; Creating the Enrich Potential Stores tool; Summary; Chapter 8: Supporting Search and Rescue Operations with ArcPy, Python Add-Ins, and simplekml ; Design; Creating the Last Known Position tool; Creating the Search Area Buffers tool; Creating the Search Sector tool; Creating the Convert to Google Earth tool; Summary; Chapter 9: Real-Time Twitter Mapping with Tweepy, ArcPy, and the Twitter API

DesignExtracting Tweet geographic coordinates with tweepy; Scheduling the script; Creating the heatmap; Summary; Chapter 10: Integrating Smartphone Photos with ArcGIS Desktop and ArcGIS Online ; Design; Taking photos; Converting iPhone photos to a feature class; Creating a Web Map; Summary; Appendix: Overview of Python Libraries for ArcGIS ; Overview of Arcpy; The ArcPy classes; FeatureSets and Recordsets; Fields; The geometry; Graphing; General; The ArcPy functions; The data store; Describing the data; Environment variables; Fields; General; Geodatabase administration; Geometry

Getting and setting parameters

Notes:

Includes index.

Description based on online resource; title from PDF title page (ebrary, viewed May 31, 2017).

ISBN:

9781785283628

1785283626

OCLC:

1491312077